2 citations · 4 across the 5 of their papers we have counts for
5 papers
Mapping the interaction between science and misinformation in COVID-19 tweets
Lucila G. Alvarez-Zuzek, Juan P. Bascur, Anna Bertani +2
During the COVID-19 pandemic, scientific knowledge evolved rapidly, accompanied by a surge of misinformation, labelled an infodemic by the WHO. In this context, we study the intera…
Changing topic bias in biomedical science maps by linking documents through alternative data sources: policy documents, patents, authors, Facebook, and Twitter
Juan Pablo Bascur, Rodrigo Costas, Suzan Verberne
Traditional science maps visualize topics by clustering documents within a network, but they are inherently biased toward clustering certain topics over others. If these topics cou…
Which topics are best represented by science maps? An analysis of clustering effectiveness for citation and text similarity networks
Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck +1
A science map of topics is a visualization that shows topics identified algorithmically based on the bibliographic metadata of scientific publications. In practice not all topics a…
Academic information retrieval using citation clusters: In-depth evaluation based on systematic reviews
Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck +1
The field of scientometrics has shown the power of citation-based clusters for literature analysis, yet this technique has barely been used for information retrieval tasks. This wo…
Scholars mobility and its impact on the knowledge producers' workforce of European regions
Marcia Ferreira, Juan Pablo Bascur, Rodrigo Costas
Knowledge production increasingly relies on mobility. However, its role as a mechanism for knowledge recombination and dissemination remains largely unknown. Based on 1,244,080 Web…